{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<i>Copyright (c) Microsoft Corporation. All rights reserved.</i>\n",
    "\n",
    "<i>Licensed under the MIT License.</i>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Quickstart: Web Cam Image Classification\n",
    "\n",
    "\n",
    "Image classification is the canonical computer vision task of determining if an image contains a specific object, feature, or activity. Currently, the best models are based on [convolutional neural networks (CNNs)](https://en.wikipedia.org/wiki/Convolutional_neural_network) and are typically pre-trained on [ImageNet dataset](http://www.image-net.org/). The CNN weights are trained on millions of images and hundreds of object classes.  Implementations are available from many deep neural network frameworks including [CNTK](https://www.microsoft.com/en-us/cognitive-toolkit/features/model-gallery/), [fast.ai](https://docs.fast.ai/vision.models.html#Computer-Vision-models-zoo), [Keras](https://keras.io/applications/), [PyTorch](https://pytorch.org/docs/stable/torchvision/models.html), and [TensorFlow](https://tfhub.dev/s?module-type=image-classification).\n",
    "\n",
    "This notebook shows a simple example of loading a pretrained model to score a webcam stream. Here, we use a [ResNet](https://arxiv.org/abs/1512.03385) model using the `fastai.vision` package.\n",
    "\n",
    "For more details about image classification tasks, including transfer learning, please see our [training introduction notebook](01_training_introduction.ipynb)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prerequisite for Webcam example \n",
    "This notebook assumes you have **a webcam** connected to your machine. If you want to use a remote-VM to run the model and codes while using a local machine for the webcam stream, you can use an SSH tunnel:\n",
    "1. SSH connect to your VM\n",
    "    ```\n",
    "    $ ssh -L 8888:localhost:8888 <user-id@url-to-your-vm>\n",
    "    ```\n",
    "2. Launch a Jupyter session on the VM (with port 8888 which is the default)\n",
    "3. Open `localhost:8888` from your browser on the webcam connected local machine to access the Jupyter notebook running on the VM.\n",
    "\n",
    "We use the `ipywebrtc` module to show the webcam widget in the notebook. Currently, the widget works on **Chrome** and **Firefox**. For more details about the widget, please visit `ipywebrtc` [github](https://github.com/maartenbreddels/ipywebrtc) or [documentation](https://ipywebrtc.readthedocs.io/en/latest/)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initialization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%reload_ext autoreload\n",
    "%autoreload 2\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fast.ai: 1.0.57\n",
      "Torch is using GPU: Tesla V100-PCIE-16GB\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "sys.path.append(\"../../\")\n",
    "import io\n",
    "import os\n",
    "import time\n",
    "import urllib.request\n",
    "\n",
    "import fastai\n",
    "from fastai.vision import models, open_image\n",
    "from ipywebrtc import CameraStream, ImageRecorder\n",
    "from ipywidgets import HBox, Label, Layout, Widget\n",
    "import scrapbook as sb\n",
    "\n",
    "from utils_cv.common.data import data_path\n",
    "from utils_cv.common.gpu import which_processor\n",
    "from utils_cv.classification.data import imagenet_labels\n",
    "from utils_cv.classification.model import IMAGENET_IM_SIZE, model_to_learner\n",
    "\n",
    "print(f\"Fast.ai: {fastai.__version__}\")\n",
    "which_processor()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load Pretrained Model\n",
    "\n",
    "To introduce the computer vision approach with CNNs, we will start with a pretrained `ResNet18` CNN which is a relatively small and fast CNNs architecture. The [reported error rate](https://pytorch.org/docs/stable/torchvision/models.html) of the model on ImageNet is 30.24% for top-1 and 10.92% for top-5 (top n labels considered most probable by the model).\n",
    "\n",
    "This model expects RGB-images as input. To take advantage of the pretrained ResNet model that was trained on imagenet, we need to _normalize_ our image data in the same way. This includes reducing the range of values of RGB from 0-255 to 0-1 and using the normalization mean and std which can be found in [`fastai.vision.imagenet_stats`](https://github.com/fastai/fastai/blob/master/fastai/vision/data.py#L78).\n",
    "\n",
    "The output of the model is a probability distribution of the labeled classes in ImageNet. To convert them into human-readable labels, we utilize the label json file from [Keras](https://github.com/keras-team/keras/blob/master/keras/applications/imagenet_utils.py).\n",
    "\n",
    "**Note:** You can load a different model using `learn = load_learner(path)`. To learn more about model-export and load, see the [fastai doc](https://docs.fast.ai/basic_train.html#Deploying-your-model)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Num labels = 1000\n",
      "tench, goldfish, great_white_shark, tiger_shark, hammerhead, ...\n"
     ]
    }
   ],
   "source": [
    "labels = imagenet_labels()\n",
    "print(f\"Num labels = {len(labels)}\")\n",
    "print(f\"{', '.join(labels[:5])}, ...\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Following fast.ai's naming conventions:  A [`Learner`](https://docs.fast.ai/basic_train.html#Learner) is a `Trainer` for `model` using `data` to minimize `loss_func` with optimizer `opt_func`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert a pretrained imagenet model into Learner for prediction. \n",
    "# You can load an exported model by learn = load_learner(path) as well.\n",
    "learn = model_to_learner(models.resnet18(pretrained=True), IMAGENET_IM_SIZE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Classify Images\n",
    "\n",
    "## Image file\n",
    "First, we prepare a coffee mug image to show an example of how to score a single image by using the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "image/png": 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\n",
      "text/plain": [
       "Image (3, 300, 300)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Download an example image\n",
    "IM_URL = \"https://cvbp-secondary.z19.web.core.windows.net/images/cvbp_cup.jpg\"\n",
    "urllib.request.urlretrieve(IM_URL, os.path.join(data_path(), \"example.jpg\"))\n",
    "\n",
    "im = open_image(os.path.join(data_path(), \"example.jpg\"), convert_mode='RGB')\n",
    "im"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the `learn.predict` method, we ask the model to classify this image. The model classifies the image returning the label with the highest probability score. In this case, \"coffee_mug\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Predicted label: coffee_mug (confidence = 0.68)\n",
      "Took 0.02240896224975586 sec\n"
     ]
    }
   ],
   "source": [
    "start_time = time.time()\n",
    "\n",
    "# Use the model to predict the class label\n",
    "_, ind, prob = learn.predict(im)\n",
    "predicted_label = labels[ind]\n",
    "predicted_confidence = prob[ind]\n",
    "print(f\"Predicted label: {predicted_label} (confidence = {predicted_confidence:.2f})\")\n",
    "\n",
    "# Show prediction time. Note the first prediction usually takes longer because of the model loading\n",
    "print(f\"Took {time.time()-start_time} sec\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## WebCam Stream\n",
    "\n",
    "Now, we use a WebCam stream for image classification. We use `ipywebrtc` to start a webcam and get the video stream which is sent to the notebook's widget. Note that Jupyter widgets are quite unstable - if the widget below does not show then see the \"Troubleshooting\" section in this [FAQ](./FAQ.md) for possible fixes. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Webcam\n",
    "w_cam = CameraStream(\n",
    "    constraints={\n",
    "        'facing_mode': 'user',\n",
    "        'audio': False,\n",
    "        'video': { 'width': IMAGENET_IM_SIZE, 'height': IMAGENET_IM_SIZE }\n",
    "    },\n",
    "    layout=Layout(width=f'{IMAGENET_IM_SIZE}px')\n",
    ")\n",
    "# Image recorder for taking a snapshot\n",
    "w_imrecorder = ImageRecorder(stream=w_cam, layout=Layout(padding='0 0 0 50px'))\n",
    "# Label widget to show our classification results\n",
    "w_label = Label(layout=Layout(padding='0 0 0 50px'))\n",
    "\n",
    "def classify_frame(_):\n",
    "    \"\"\" Classify an image snapshot by using a pretrained model\n",
    "    \"\"\"\n",
    "    # Once capturing started, remove the capture widget since we don't need it anymore\n",
    "    if w_imrecorder.layout.display != 'none':\n",
    "        w_imrecorder.layout.display = 'none'\n",
    "        \n",
    "    try:\n",
    "        im = open_image(io.BytesIO(w_imrecorder.image.value), convert_mode='RGB')\n",
    "        _, ind, prob = learn.predict(im)\n",
    "        # Show result label and confidence\n",
    "        w_label.value = f\"{labels[ind]} ({prob[ind]:.2f})\"\n",
    "    except OSError:\n",
    "        # If im_recorder doesn't have valid image data, skip it. \n",
    "        pass\n",
    "    \n",
    "    # Taking the next snapshot programmatically\n",
    "    w_imrecorder.recording = True\n",
    "\n",
    "# Register classify_frame as a callback. Will be called whenever image.value changes. \n",
    "w_imrecorder.image.observe(classify_frame, 'value')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(CameraStream(constraints={'facing_mode': 'user', 'audio': False, 'video': {'width': 224, 'heigh…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Show widgets\n",
    "HBox([w_cam, w_imrecorder, w_label])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, click the **capture button** in the widget to start classification. Labels are displayed to show the most probable class along with the confidence predicted by the model for an image snapshot.\n",
    "\n",
    "<img src=\"https://cvbp-secondary.z19.web.core.windows.net/images/cvbp_webcam.png\" width=\"400\" />\n",
    "<center>\n",
    "<i>Example Webcam image</i>\n",
    "</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusion\n",
    "In this notebook, we used a simple example to demonstrate how to use a pretrained model to classify images. The model is limited to only predict object labels that are part of the ImageNet training samples. From our [training introduction notebook](01_training_introduction.ipynb), you can find how to fine-tune a model to customize the model to detect other objects that you may be interested in finding."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# Stop the model and webcam\n",
    "Widget.close_all()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/scrapbook.scrap.text+json": {
       "data": "coffee_mug",
       "encoder": "text",
       "name": "predicted_label",
       "version": 1
      }
     },
     "metadata": {
      "scrapbook": {
       "data": true,
       "display": false,
       "name": "predicted_label"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/scrapbook.scrap.json+json": {
       "data": 0.6800199747085571,
       "encoder": "json",
       "name": "predicted_confidence",
       "version": 1
      }
     },
     "metadata": {
      "scrapbook": {
       "data": true,
       "display": false,
       "name": "predicted_confidence"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Preserve some of the notebook outputs\n",
    "sb.glue(\"predicted_label\", predicted_label)\n",
    "sb.glue(\"predicted_confidence\", float(predicted_confidence))"
   ]
  }
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